Abstract 11545: Moving to a Highly Walkable Neighborhood and Incidence of Hypertension: A Propensity-score Matched Cohort Study
Bibliographic record
Abstract
Introduction: Despite growing interest in the built environment and its impact on cardiovascular health, little is known about whether moving to a neighborhood more conducive to walking influences one’s risk of hypertension, a key risk factor of cardiovascular diseases. Objective: To conduct the first cohort study examining the association between moving to a highly walkable neighborhood and the risk of incident hypertension among a population-based sample of adults in Ontario, Canada. Methods: From the Canadian Community Health Survey (2001-2010), we identified a propensity-score matched cohort of 1057 pairs of Canadian adults who moved from a low (Walk Score<90) walkability neighborhood to either a high (Walk Score≥90) or another low walkability neighborhood. The Walk Score (www.walkscore.com) is a walkability index shown to be valid in multiple geographic locations and at multiple spatial scales. The matched groups were well balanced on 16 important factors, including age, income, marital status and body-mass index. Incident hypertension was ascertained by linking the cohort to administrative health databases using a validated algorithm. Thyroid stimulating hormone testing and annual health examinations were used as the control events. Results: We observed a 42% lower risk of incident hypertension among those who moved from a low to high walkability neighborhood vs. those who moved from a low to another low walkability neighborhood (p=0.03) (Figure below). The incidence rate of hypertension was 8.6 per 1,000 person-years among the low to high walkability movers compared to 14.9 per 1,000 person-years among the low to low walkability movers. There were no significant differences in the control event rates between the two mover groups. Conclusions: Moving to a highly walkable neighborhood was associated with a significant protective effect on hypertension incidence, suggesting that the built environment can positively influence cardiovascular health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".